Web Analytics

Experience : 4 - 6 years

• +7 years of experience working in web, product, marketing, or other related analytics fields to solve for marketing/product business problems
• +5 years of experience in designing and executing experiments (A/B and multivariate) with a deep understanding of the stats behind hypothesis testing
• Proficient in alternative A/B testing methods like DiD, Synthetic control and other causal inference techniques
• +5 years of technical proficiency in SQL, Python or R and data visualization tools like tableau
• +5 years of experience in manipulating and analyzing large complex datasets (e.g. clickstream data), constructing data pipelines (ETL) and working on big data technologies (e.g., Redshift, Spark, Hive, Big Query) and solutions from cloud platforms and visualization tools like Tableau
• +3 years of experience in web analytics, analyzing website traffic patterns and conversion funnels
• +5 years of experience in building ML models (eg: regression, clustering, trees) for personalization applications
• Demonstrate ability to drive strategy, execution and insights for AI native experiences across the development lifecycle (ideation, discovery, experimentation, scaling)
• Outstanding communication skills with both technical and non-technical audiences
• Ability to tell stories with data, influence business decisions at a leadership level, and provide solutions to business problems
• Ability to manage multiple projects simultaneously to meet objectives and key deadlines

• Drive measurement strategy and lead E2E process of A/B testing for areas of web optimization such as landing pages, user funnel, navigation, checkout, product lineup, pricing, search and monetization opportunities
• Analyze web user behavior at both visitor and session level using clickstream data by anchoring to key web metrics and identify user behavior through engagement and pathing analysis
• Leverage AI/GenAI tools for automating tasks and building custom implementations
• Use data, strategic thinking and advanced scientific methods including predictive modeling to enable data-backed decision making for Intuit at scale
• Measure performance and impact of various product releases Demonstrate strategic thinking and systems thinking to solve business problems and influence strategic decisions using data storytelling.
• Partner with GTM, Product, Engineering, Design, Engineering teams to drive analytics projects end to end
• Build models to identify patterns in traffic and user behavior to inform acquisition strategies and optimize for business outcomes

Experimentation, Product Analytics, Statistics, SQL, Dashboaridng.